cellshighlights
cellshighlights is a term used in computational biology to describe methods and tools designed to emphasize and annotate specific cells within high-dimensional cellular datasets. This approach aims to improve the interpretability of complex data by visually distinguishing subsets of cells based on gene expression, metadata, or spatial location.
Core ideas include selecting cells by predefined criteria and applying color-coded overlays or markers to plots
Selection criteria can be threshold-based (for example, expression of particular marker genes above a cutoff), cluster-based,
Typical workflows involve preprocessing to normalize and reduce dimensionality, followed by defining highlight rules and generating
Applications of cellshighlights include exploratory data analysis, discovery of rare or transitional cell states, and communication
See also: single-cell analysis, dimensionality reduction, UMAP, t-SNE, data visualization.